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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2020-01-15 10:24:34	ga_s2am_ard_3-2-1_53JQL_2020-01-15_final
2020-01-18 10:34:26	ga_s2am_ard_3-2-1_53JQL_2020-01-18_final
2020-01-25 10:24:33	ga_s2am_ard_3-2-1_53JQL_2020-01-25_final
2020-01-28 10:34:25	ga_s2am_ard_3-2-1_53JQL_2020-01-28_final
2020-02-04 10:24:32	ga_s2am_ard_3-2-1_53JQL_2020-02-04_final
2020-02-07 10:34:24	ga_s2am_ard_3-2-1_53JQL_2020-02-07_final
2020-02-14 10:24:33	ga_s2am_ard_3-2-1_53JQL_2020-02-14_final
2020-02-17 10:34:26	ga_s2am_ard_3-2-1_53JQL_2020-02-17_final
2020-02-24 10:24:35	ga_s2am_ard_3-2-1_53JQL_2020-02-24_final
2020-02-26 11:04:42	ga_s2am_ard_3-2-1_52JER_2020-02-26_final
2020-02-27 10:34:28	ga_s2am_ard_3-2-1_53JQL_2020-02-27_final
2020-03-05 10:24:36	ga_s2am_ard_3-2-1_53JQL_2020-03-05_final
2020-03-07 11:04:43	ga_s2am_ard_3-2-1_52JER_2020-03-07_final
2020-03-08 10:34:28	ga_s2am_ard_3-2-1_53JQL_2020-03-08_final
2020-03-15 10:24:36	ga_s2am_ard_3-2-1_53JQL_2020-03-15_final
2020-03-17 11:04:43	ga_s2am_ard_3-2-1_52JER_2020-03-17_final
2020-03-18 10:34:29	ga_s2am_ard_3-2-1_53JQL_2020-03-18_final
2020-03-25 10:24:36	ga_s2am_ard_3-2-1_53JQL_2020-03-25_final
2020-03-27 11:04:43	ga_s2am_ard_3-2-1_52JER_2020-03-27_final
2020-03-28 10:34:29	ga_s2am_ard_3-2-1_53JQL_2020-03-28_final
2020-04-04 10:24:36	ga_s2am_ard_3-2-1_53JQL_2020-04-04_final
2020-04-06 11:04:44	ga_s2am_ard_3-2-1_52JER_2020-04-06_final
2020-04-07 10:34:30	ga_s2am_ard_3-2-1_53JQL_2020-04-07_final
2020-04-14 10:24:39	ga_s2am_ard_3-2-1_53JQL_2020-04-14_final
2020-04-16 11:04:47	ga_s2am_ard_3-2-1_52JER_2020-04-16_final
2020-04-17 10:34:32	ga_s2am_ard_3-2-1_53JQL_2020-04-17_final
2020-04-24 10:24:41	ga_s2am_ard_3-2-1_53JQL_2020-04-24_final
2020-04-26 11:04:49	ga_s2am_ard_3-2-1_52JER_2020-04-26_final
2020-04-27 10:34:35	ga_s2am_ard_3-2-1_53JQL_2020-04-27_final
2020-05-04 10:24:43	ga_s2am_ard_3-2-1_53JQL_2020-05-04_final
2020-05-06 11:04:51	ga_s2am_ard_3-2-1_52JER_2020-05-06_final
2020-05-07 10:34:36	ga_s2am_ard_3-2-1_53JQL_2020-05-07_final
2020-05-14 10:24:44	ga_s2am_ard_3-2-1_53JQL_2020-05-14_final
2020-05-16 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-05-16_final
2020-05-24 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-05-24_final
2020-05-26 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-05-26_final
2020-05-27 10:34:39	ga_s2am_ard_3-2-1_53JQL_2020-05-27_final
2020-06-03 10:24:46	ga_s2am_ard_3-2-1_53JQL_2020-06-03_final
2020-06-05 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-06-05_final
2020-06-06 10:34:39	ga_s2am_ard_3-2-1_53JQL_2020-06-06_final
2020-06-13 10:24:46	ga_s2am_ard_3-2-1_53JQL_2020-06-13_final
2020-06-15 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-06-15_final
2020-06-16 10:34:39	ga_s2am_ard_3-2-1_53JQL_2020-06-16_final
2020-06-23 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-06-23_final
2020-06-25 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-06-25_final
2020-06-26 10:34:38	ga_s2am_ard_3-2-1_53JQL_2020-06-26_final
2020-07-03 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-07-03_final
2020-07-05 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-07-05_final
2020-07-06 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-07-06_final
2020-07-13 10:24:44	ga_s2am_ard_3-2-1_53JQL_2020-07-13_final
2020-07-15 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-07-15_final
2020-07-16 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-07-16_final
2020-07-23 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-07-23_final
2020-07-25 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-07-25_final
2020-07-26 10:34:38	ga_s2am_ard_3-2-1_53JQL_2020-07-26_final
2020-08-02 10:24:46	ga_s2am_ard_3-2-1_53JQL_2020-08-02_final
2020-08-04 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-08-04_final
2020-08-05 10:34:38	ga_s2am_ard_3-2-1_53JQL_2020-08-05_final
2020-08-12 10:24:46	ga_s2am_ard_3-2-1_53JQL_2020-08-12_final
2020-08-14 11:04:53	ga_s2am_ard_3-2-1_52JER_2020-08-14_final
2020-08-15 10:34:38	ga_s2am_ard_3-2-1_53JQL_2020-08-15_final
2020-08-22 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-08-22_final
2020-08-24 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-08-24_final
2020-08-25 10:34:38	ga_s2am_ard_3-2-1_53JQL_2020-08-25_final
2020-09-01 10:24:45	ga_s2am_ard_3-2-1_53JQL_2020-09-01_final
2020-09-03 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-09-03_final
2020-09-04 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-09-04_final
2020-09-11 10:24:43	ga_s2am_ard_3-2-1_53JQL_2020-09-11_final
2020-09-13 11:04:51	ga_s2am_ard_3-2-1_52JER_2020-09-13_final
2020-09-14 10:34:37	ga_s2am_ard_3-2-1_53JQL_2020-09-14_final
2020-09-23 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-09-23_final
2020-10-03 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-10-03_final
2020-10-03 11:04:59	ga_s2am_ard_3-2-1_52JER_2020-10-03_final
2020-10-13 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-10-13_final
2020-10-13 11:04:59	ga_s2am_ard_3-2-1_52JER_2020-10-13_final
2020-10-23 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-10-23_final
2020-11-02 11:04:52	ga_s2am_ard_3-2-1_52JER_2020-11-02_final
2020-11-12 11:04:51	ga_s2am_ard_3-2-1_52JER_2020-11-12_final
2020-11-22 11:04:49	ga_s2am_ard_3-2-1_52JER_2020-11-22_final
2020-12-02 11:04:46	ga_s2am_ard_3-2-1_52JER_2020-12-02_final
2020-12-12 11:04:44	ga_s2am_ard_3-2-1_52JER_2020-12-12_final
2020-12-22 11:04:46	ga_s2am_ard_3-2-1_52JER_2020-12-22_final
2021-01-01 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-01-01_final
2021-01-11 11:04:48	ga_s2am_ard_3-2-1_52JER_2021-01-11_final
2021-01-21 11:04:48	ga_s2am_ard_3-2-1_52JER_2021-01-21_final
2021-01-31 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-01-31_final
2021-02-10 11:04:46	ga_s2am_ard_3-2-1_52JER_2021-02-10_final
2021-02-20 11:04:46	ga_s2am_ard_3-2-1_52JER_2021-02-20_final
2021-03-02 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-03-02_final
2021-03-12 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-03-12_final
2021-03-22 11:04:46	ga_s2am_ard_3-2-1_52JER_2021-03-22_final
2021-04-01 11:04:44	ga_s2am_ard_3-2-1_52JER_2021-04-01_final
2021-04-11 11:04:42	ga_s2am_ard_3-2-1_52JER_2021-04-11_final
2021-04-21 11:04:42	ga_s2am_ard_3-2-1_52JER_2021-04-21_final
2021-05-01 11:04:45	ga_s2am_ard_3-2-1_52JER_2021-05-01_final
2021-05-11 11:04:46	ga_s2am_ard_3-2-1_52JER_2021-05-11_final
2021-05-21 11:04:47	ga_s2am_ard_3-2-1_52JER_2021-05-21_final
2021-05-31 11:04:48	ga_s2am_ard_3-2-1_52JER_2021-05-31_final
2021-10-26 10:24:45	ga_s2am_ard_3-2-1_53JQL_2021-10-26_final
2021-11-28 10:34:32	ga_s2am_ard_3-2-1_53JQL_2021-11-28_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years